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Data Analysis with SQL and Python Training

  • Training Duration:
  • 3 Days
  • Training Environment:
  • On-site at the Institution
  • In DVA Classrooms
  • Online
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PYTHON 3 PROGRAMMING

About the Training

The “Data Analysis with SQL and Python Training” teaches the use of SQL and Python for data analysis. These languages are highly effective in data analysis. The training covers methods for storing and retrieving data in SQL databases, while also demonstrating data analysis techniques in Python.

In SQL, you will learn how to create databases, extract, filter, and group data. The course also emphasizes data sorting techniques, which are fundamental data processing methods in SQL.

When moving on to data analysis with Python, you will learn how to read data, along with techniques for data cleaning and customization. Additionally, the course covers data visualization and analysis.

Throughout the training, both theoretical knowledge and practical applications are provided. These applications are supported by sample projects and assignments, giving you the opportunity to apply what you’ve learned in practice. This is an important opportunity to solidify your skills.

The training also includes Python’s graphic and visualization tools, which help present data in an understandable and readable manner. This is crucial for accurately interpreting the information obtained from data analysis.

Additionally, the course provides insight into the applications of data analytics across various industries, showing students the broad range of uses for data analytics. Examples of data analytics applications in finance, marketing, and health analysis are presented.

In conclusion, the “Data Analysis with SQL and Python Training” is ideal for those aiming to perform data analysis. It teaches how to use SQL and Python in the field of data analysis. This training is an essential resource for those looking to improve their data analysis skills and pursue a professional career in this area. It enhances your data processing skills in SQL and your data analysis and visualization capabilities in Python. As a result, you will establish a strong foundation in data analytics. It is a must-have training for anyone aiming to advance in the field of data science and analytics.

What Will You Learn?

In the data analysis training using SQL and Python, you will learn the following:
  • Storing data and creating database structures using the SQL database management system.
  • Techniques for data collection, cleaning, and manipulation.
  • Analyzing, visualizing, and reporting data with Python.
  • Data mining and data discovery techniques.
  • Applying the data analytics process in data science projects.
  • How to use real-world data analytics applications.
  • Utilizing data analytics tools and libraries (e.g., NumPy, Pandas, Matplotlib, etc.).
This training will help meet your needs in the field of data analytics and enhance your data analysis skills.

Prerequisites

To participate in data analysis training using SQL and Python, the following prerequisites are generally recommended:
  • Basic Computer Knowledge: You should have basic computer skills such as file management, text editing, and internet browsing.
  • Basic SQL Knowledge: Familiarity with the structure of databases and basic SQL queries can be beneficial.
  • Basic Python Knowledge: Understanding the basic concepts of programming languages and how to use the Python programming language is expected.
These prerequisites will help you follow the training more efficiently and effectively. If you do not fully meet these prerequisites, it might be helpful to learn these areas first.

Who Should Attend?

 
  • Data Analysts, Data Managers, and Data Miners: This training can be beneficial for professionals who want to perform tasks like data collection, storage, analysis, and reporting more effectively and efficiently.
  • Individuals Aspiring to Work in Data Science and Machine Learning: For those looking to engage in data analysis within data science and machine learning projects, training in data analysis using SQL and Python can be advantageous.
  • Individuals Looking to Enhance Their Data Analysis and Reporting Skills: This training is valuable for anyone interested in improving their data analysis and reporting capabilities.
  • Individuals Targeting a Career in Data Mining and Data Discovery: For those aiming to pursue a career in data mining and data discovery, this training in data analysis using SQL and Python can be particularly beneficial.

Outline

  • Introduction
  • The fundamentals of Python and SQL
  • Overview of Tableau features and architecture
  • Getting Started
  • Setting up the development environment
  • Understanding software integration
  • Data Pre-processing in Python
  • Importing libraries and datasets
  • Handling missing data values
  • Data normalization and formatting
  • Performing regression analysis
  • Data Analysis with SQL
  • Setting up the database
  • Connecting Python and SQL
  • Querying the database
  • Manipulating data (filtering, sorting, and grouping)
  • Troubleshooting
  • Summary and Next Steps

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